14 data modeler jobs found

KTP Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at: https://iuk-ktp.org.uk/. The Project The University of Essex in partnership with RevWise Ltd offers an exciting opportunity to a graduate with the relevant skills and knowledge to design, trial and embed an agentic AI system for data management and communication optimisation. Duties of the Post The duties of the post fall under three key categories (Technical, People/change and Project Delivery) and will include:   Design, develop and deploy agentic AI systems to support data management, decision-making and communication optimisation within RevWise’s affiliate marketing operations. Stay up to date with emerging developments in agentic AI, large language models (LLMs), and autonomous...

About the role: Are you a researcher who wants to do serious machine learning in a domain that matters? We are seeking an exceptional Postdoctoral Research Associate to join MindCraft, an innovative programme at Imperial College London developing AI-guided smartphone-based mental health interventions for adolescents. You will work at the intersection of machine learning, computational psychiatry, digital phenotyping, and real-world intervention research — building mathematically grounded, personalised AI systems that can infer mental state from multimodal behavioural data and learn to deliver the right intervention at the right time. What you would be doing: You will play a central role in developing the project’s computational and machine learning core. Your work will include: Developing multimodal models of adolescent mental state from longitudinal mobile and self-report data Designing latent-state, state-space, probabilistic, or representation-learning approaches for modelling...

Application deadline: 30/06/2026 Research theme: Bayesian Models, Machine Learning, Generative Models, Physics-Informed Machine Learning How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible to apply (we also welcome students from the Republic of Ireland and EU students with settled status). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. This project will develop an integrated AI framework to design crystallisation reactors more effectively. It will first use generative AI to create and explore new reactor shapes. A Variational Autoencoder (VAE) will encode complex 3D reactor cross-sections into a continuous latent design space. It will then build hybrid models of...

Contract | 4 weeks | 15–25 hours/week | Remote (with availability to collaborate during East Coast workday) Start date: Immediately About the project We're helping a leading nonpartisan research and advocacy organization ship a public-facing AI chatbot. It helps education stakeholders explore school district-level teacher policy data through natural conversation: salary comparisons, observation requirements, compensation structures, peer district matching, and more. The system is a multi-stage agent pipeline built on PydanticAI and FastAPI that we're refining for public launch. It uses structured handoffs between stages managed through Pydantic models, with a PostgreSQL data layer, a PHP/Tailwind frontend, Logfire observability, and containerized deployment on Azure. Evaluation uses pydantic-evals with a mix of deterministic validators and LLM-based judges. We're in a 4-week sprint to get from "works most of the time" to "accurate enough to launch...

This exciting Knowledge Transfer Partnership (KTP) project between Aston University and Modular Data Ltd will build an open source platform using AI tools to predict outcomes such as reoffending rates and improve supply chains. You will take day to day responsibility for developing the platform core and reusable “domain packs”, working closely with Modular Data's team and Aston University academic supervisors. What you will gain: You will work at the forefront of applied AI, building an open source platform with real world impact across criminal justice, public safety and supply chain sectors. You will design, deliver and launch production grade AI systems, guided by leading Aston University experts. This role offers opportunities to lead technical innovation, publish joint research and help set industry standards in secure and ethical AI. You will also have access to a personal development budget of £2000 per year to build relevant skills. This KTP provides a strong opportunity to...

Data Science and AI Associate Location: Norwich or Bristol Salary: Circa £35k This is a great opportunity for someone who is a motivated and curious Data Science Associate with exposure to AI to join our growing Data Science & AI platform team. You will be at your early stage in your career and is keen to learn, build hands-on experience, and grow their skills in data science platforms and AI tooling. Bit about the job: You'll support colleagues to adopt and use data science and AI tools effectively, helping to embed best practice across data science platforms. You'll contribute to improvements in tooling, documentation, and ways of working, while supporting the development of MLOps and AIOps capabilities. You'll also work collaboratively with data scientists, engineers, and platform specialists to ensure the platform continues to meet the needs of the business. You don't need to be an expert yet - we're looking for someone with a solid foundation, a...

Applications are invited for a Teaching and Scholarship lectureship in AI or Data Science in the School of Mathematics at Cardiff University. This position is intended to support a new suite of AI and Data Science MSc programmes that will be delivered both in the UK and overseas. The successful candidate may be required to undertake duties for which they are qualified at other locations within the University or at one of its transnational partner institutions overseas. Please refer to the job description for further details. In this role, you will: Design and deliver modules on taught programmes, including MSc AI or Data Science modules and supervise dissertations Conduct excellent research leading to measurable outputs including publications and funding applications Engage effectively with industrial, commercial and public sector organisations to raise awareness of the School. We’d like to hear from you if you: Have teaching experience at undergraduate / postgraduate level. Can...

Position Overview Discipline: EngineeringLocation: London, Devon House (St Katherines Dock) Term: 2 years, fixed term, full-time Direct Reports: n/a Reports to: Professor Osvaldo Simeone Benefits: The university supports staff maintaining a good work-life balance, offering: (i) flexible working and parental leave opportunities; (ii) an employee assistance programme which provides free, confidential advice on both home and work concerns, as well as optional private medical insurance; (iii) season ticket loans; and (iv) being part of the cycle-to-work scheme. Start: October 2026 The Role Northeastern University London invites applications for three Post-Doctoral Research Associates in Reliable Neuromorphic, Classical, and Quantum AI to work with Professor Osvaldo Simeone. The successful candidates will join an ambitious research programme aimed at developing theoretically principled and statistically reliable frameworks for next-generation AI, spanning classical, neuromorphic, and...

Research theme: Nuclear Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. High-temperature gas-cooled reactors (HTGRs) are of significant interest to the UK due to their ability to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected the High Temperature Gas-cooled Reactor (HTGR) as the most credible Advanced Modular Reactor (AMR) technology. Achieving improved performance requires accurate, high-fidelity modelling to reliably predict power distributions and ensure fuel...

Project Supervisor – Dr Cheng Wang We are seeking an outstanding PhD candidate to join the Colour & Imaging Research Lab in the School of Computing Sciences at the University of East Anglia. This project sits at the forefront of 3D computer vision and generative AI. The PhD is a collaborative initiative between the University of East Anglia and the University of Tokyo (Japan), aiming to advance how artificial intelligence perceives, reconstructs, and synthesises urban environments. The research will integrate geometric reasoning with modern generative models to enable the creation of intelligent, dynamic digital twins. Research Focus This PhD will investigate novel algorithms and applications for representing, understanding, and generating urban-scale 3D content, with the goal of building realistic, editable, and semantically rich 3D models. Specific objectives may include: Developing robust 3D reconstruction pipelines for urban scenes using multi-view imagery, video, or sparse...

Application deadline: 31/05/2026 Research theme: Nuclear Engineering How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. High-temperature gas-cooled reactors (HTGRs) are of significant interest to the UK due to their ability to deliver high-temperature, low-carbon energy for applications beyond electricity generation, and building on the UK’s extensive experience of gas-cooled reactor operation. HMG has selected the High Temperature Gas-cooled Reactor (HTGR) as the most credible Advanced Modular Reactor (AMR) technology. Achieving improved performance requires accurate, high-fidelity modelling to reliably predict power...

About the role This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct world-leading research on Leveraging Ontological Knowledge with Argumentative Agentic AI to Accelerate Chemical Development  under the direction of Prof Francesca Toni, in collaboration with Prof Alexei Lapkin from the University of Cambridge, Dr Antonio Rago from King’s College London, and industrial collaborators, within the AIChemy Hub (https://aichemy.ac.uk/). The successful candidate will focus on developing an advanced argumentative agentic AI approach for chemical development settings based on reinforcement learning but able to shape rewards with the help of ontological knowledge of chemical process development (by the group of Prof. Lapkin based in Cambridge and in Singapore) as well as expert knowledge from humans and from other agents. The approach will be based on and will develop techniques from computational argumentation combined with reinforcement...

Contract Type: Fixed Term 28 months The University of Derby’s engagement with global industries based in the Derby region helps ensure that our research and teaching are at the forefront of emerging industry needs and opportunities. Our links with companies in our region including Bloc Digital, Rolls-Royce and Alstom, also mean our students benefit from placement years and live briefs.   About Richard Lang & Son Ltd  Founded in 1949, Richard Lang & Son Ltd is a third-generation, family-owned giftware importer and wholesaler based in Derby, supplying independent retailers and national chains across the UK, with expansion into Europe underway. As a heritage business undergoing significant digital and operational transformation, the company has invested heavily in warehouse modernisation, systems integration, automation, and enterprise data infrastructure. The ambition is to architect and deploy scalable, production-ready AI and digital twin systems that transform sales...

Location: Based predominantly at SSEN in Thatcham Contract Type: Fixed Term (30 months) This exciting Knowledge Transfer Partnership (KTP) project will develop a novel AI‑enabled system to automatically detect low‑voltage services and conductors from image data, using advanced machine learning models to infer the location of hidden or obscured conductors. You will work within SSEN’s core asset data team, collaborating to develop tools and techniques to deliver a user‑friendly mapping solution. What you will gain Develop and apply advanced AI and machine learning methods to complex, large‑scale data to solve real‑world infrastructure challenges Gain hands‑on experience working across multidisciplinary teams in a large utility company serving 3.9 million customers Access a personal development and training budget of £2,000 per year Work closely with world‑leading researchers at Aston University, gaining valuable industrial experience and mentorship Contribute to a high‑impact project...